European Online Retailer reduces Checkout Drop off by 48 Percent using Online Visitor Behavior to Predict Exit Intent in Live-Time

Faced with the challenge of visitors visiting their website without making a purchase, World Wide Lighting, a leading European online retailer specializing in lighting products, looked for ways to lift its conversion rates. The brand identified potential abandoners and delivered tailored, personalized messaging by leveraging machine learning algorithms from Celebrus...

The post European Online Retailer reduces Checkout Drop off by 48 Percent using Online Visitor Behavior to Predict Exit Intent in Live-Time first appeared on AI-TechPark.

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